Update app.py

app.py

@@ -9,7 +9,7 @@ import warnings
 warnings.filterwarnings("ignore")
 
 class PDFSummarizer:
-    def init(self):
+    def __init__(self):
         # Use a much faster, lighter model for summarization
         self.model_name = "sshleifer/distilbart-cnn-12-6"  # Much faster than BART-large
         self.device = "cuda" if torch.cuda.is_available() else "cpu"
@@ -156,7 +156,7 @@ class PDFSummarizer:
             
             # Create statistics
             summary_stats = f"""
-📊 Document Statistics:
+📊 **Document Statistics:**
 - Original word count: {word_count:,}
 - Original character count: {char_count:,}
 - Pages processed: {len(chunks)}
@@ -189,7 +189,8 @@ def summarize_pdf_interface(pdf_file, summary_type):
         
     except Exception as e:
         return f"❌ Error: {str(e)}", "", ""
-        # Create Gradio interface
+
+# Create Gradio interface
 def create_interface():
     with gr.Blocks(
         title="📄 AI PDF Summarizer",
@@ -212,8 +213,8 @@ def create_interface():
         Upload any PDF document and get an intelligent summary in seconds! 
         Perfect for research papers, reports, articles, and books.
         
-        Features:
-        - ⚡️ Fast processing with BART model
+        **Features:**
+        - ⚡ Fast processing with BART model
         - 📊 Document statistics
         - 🎯 Multiple summary lengths
         - 🔍 Smart text chunking
@@ -264,15 +265,15 @@ def create_interface():
         gr.Markdown("""
         ## 💡 Tips for Best Results:
         
-        - File Quality: Ensure your PDF has selectable text (not just images)
-        - Length: Works best with documents between 500-10,000 words
-        - Language: Optimized for English content
-        - Format: Clean, well-formatted PDFs produce better summaries
+        - **File Quality**: Ensure your PDF has selectable text (not just images)
+        - **Length**: Works best with documents between 500-10,000 words
+        - **Language**: Optimized for English content
+        - **Format**: Clean, well-formatted PDFs produce better summaries
         
         ## 🔧 Technical Details:
-        - Model: Facebook BART-Large-CNN (state-of-the-art summarization)
-        - Processing: Smart text chunking with overlap prevention
-        - Speed: GPU-accelerated when available
+        - **Model**: Facebook BART-Large-CNN (state-of-the-art summarization)
+        - **Processing**: Smart text chunking with overlap prevention
+        - **Speed**: GPU-accelerated when available
         """)
         
         # Connect the button to the function
@@ -292,6 +293,6 @@ def create_interface():
     return interface
 
 # Launch the application
-if name == "main":
+if __name__ == "__main__":
     interface = create_interface()
     interface.launch()